Presents problems and methodologies related to the syntax, semantics, and ambiguities of visual languages. Defines and formalizes visual languages for interactive computing, as well as visual notation interpretation.

Get started with Python for data analysis and numerical computing in the Jupyter notebook About This Book Learn the basics of Python in the Jupyter Notebook Analyze and visualize data with pandas, NumPy, matplotlib, and seaborn Perform highly-efficient numerical computations with Numba, Cython, and ipyparallel Who This Book Is For This book targets students, teachers, researchers, engineers, analysts, journalists, hobbyists, and all data enthusiasts who are interested in analyzing and visualizing real-world datasets. If you are new to programming and data analysis, this book is exactly for you. If you're already familiar with another language or analysis software, you will also appreciate this introduction to the Python data analysis platform. Finally, there are more technical topics for advanced readers. No prior experience is required; this book contains everything you need to know. What You Will Learn Install Anaconda and code in Python in the Jupyter Notebook Load and explore datasets interactively Perform complex data manipulations effectively with pandas Create engaging data visualizations with matplotlib and seaborn Simulate mathematical models with NumPy Visualize and process images interactively in the Jupyter Notebook with scikit-image Accelerate your code with Numba, Cython, and IPython.parallel Extend the Notebook interface with HTML, JavaScript, and D3 In Detail Python is a user-friendly and powerful programming language. IPython offers a convenient interface to the language and its analysis libraries, while the Jupyter Notebook is a rich environment well-adapted to data science and visualization. Together, these open source tools are widely used by beginners and experts around the world, and in a huge variety of fields and endeavors. This book is a beginner-friendly guide to the Python data analysis platform. After an introduction to the Python language, IPython, and the Jupyter Notebook, you will learn how to analyze and visualize data on real-world examples, how to create graphical user interfaces for image processing in the Notebook, and how to perform fast numerical computations for scientific simulations with NumPy, Numba, Cython, and ipyparallel. By the end of this book, you will be able to perform in-depth analyses of all sorts of data. Style and approach This is a hands-on beginner-friendly guide to analyze and visualize data on real-world examples with Python and the Jupyter Notebook.

"This is a book about what the science of perception can tell us about visualization. There is a gold mine of information about how we see to be found in more than a century of work by vision researchers. The purpose of this book is to extract from that large body of research literature those design principles that apply to displaying information effectively"--

This groundbreaking book defines the emerging field of information visualization and offers the first-ever collection of the classic papers of the discipline, with introductions and analytical discussions of each topic and paper. The authors' intention is to present papers that focus on the use of visualization to discover relationships, using interactive graphics to amplify thought. This book is intended for research professionals in academia and industry; new graduate students and professors who want to begin work in this burgeoning field; professionals involved in financial data analysis, statistics, and information design; scientific data managers; and professionals involved in medical, bioinformatics, and other areas. Features Full-color reproduction throughout Author power team - an exciting and timely collaboration between the field's pioneering, most-respected names The only book on Information Visualization with the depth necessary for use as a text or as a reference for the information professional Text includes the classic source papers as well as a collection of cutting edge work

This book presents efficient visualization techniques, a prerequisite for the interactive exploration of complex data sets. High performance is demonstrated as a process of devising algorithms for the fast graphics processing units (GPUs) of modern graphics hardware. Coverage includes parallelization on cluster computers with several GPUs, adaptive rendering methods, and non-photorealistic rendering techniques for visualization.

An Updated Guide to the Visualization of Data for Designers, Users, and ResearchersInteractive Data Visualization: Foundations, Techniques, and Applications, Second Edition provides all the theory, details, and tools necessary to build visualizations and systems involving the visualization of data. In color throughout, it explains basic terminology

"This book provides concepts, methodologies, and applications used to design and develop multimodal systems"--Provided by publisher.

The International PROLAMAT Conference is an internationally well known event for demonstrating and evaluating activities and progress in the field of discrete manufacturing. Sponsored by the International Federation for Information Processing (IFIP), the PROLAMAT is traditionally held every three years and it includes the whole area of advanced software technology for Design and Manufacturing in Discrete Manufacturing. Past editions of the International PROLAMA T Conference have explored: -Manufacturing Technology, -Advances in CAD/CAM, -Software for Discrete Manufacturing, -Software for Manufacturing. The Eight International PROLAMAT held in 1992 (Tokyo), focused on the theme of Man in CIM. The 1995 PROLAMAT (Berlin), featured the theme of Life Cycle Modelling for Innovative Products and Processes. This past emphasis on human aspects and innovation provides a strong foundation for the next PROLAMAT. Under the title: The globalization of manufacturing in the digital communications era of the 21th century: innovation, agility and the virtual enterprise, the 1998 conference expands the PROLAMAT scope to include teams and virtual enterprises which come together across space and time to develop new products and bring them to global markets. Manufacturing issues and information models have long been part of concurrent engineering; they are increasingly important in new product innovation and in the development of manufacturing plans and processes which span multiple companies along with multiple time zones.

Model-Driven Development (MDD) has become an important paradigm in software development. It uses models as primary artifacts in the development process. This book provides an outstanding overview as well as deep insights into the area of model-driven development of user interfaces, which is an emerging topic in the intersection of Human-Computer-Interaction and Software-Engineering. The idea of this book is based on the very successful workshop series of “Model-Driven Development of Advanced User Interfaces (MDDAUI)”. It has been written by the leading researchers and practitioners in the field of model-driven development of user interfaces and offer a variety of solutions and examples for • Architectures and environments for the generation of user interfaces • User interface development for specific domains and purposes • Model-driven development in the context of ambient intelligence • Concepts supporting model-driven development of user interfaces

This book constitutes the thoroughly refereed post-proceedings of the 7th ERCIM Workshop on User Interfaces for All, held in Paris, France, in October 2002. The 40 revised full papers presented were carefully reviewed and selected during two rounds of refereeing and revision. The papers are organized in topical sections on user interfaces for all: accessibility issues, user interfaces for all: design and assessment, towards an information society for all, novel interaction paradigms: new modalities and dialogue style, novel interaction paradigms: accessibility issues, and mobile computing: design and evaluation.